TY - GEN
T1 - Dually Noted
T2 - 2022 CHI Conference on Human Factors in Computing Systems, CHI 2022
AU - Qian, Jing
AU - Sun, Qi
AU - Wigington, Curtis
AU - Han, Han L.
AU - Sun, Tong
AU - Healey, Jennifer
AU - Tompkin, James
AU - Huang, Jeff
N1 - Funding Information:
The authors thank reviewers for their constructive feedback that helps us improve this paper. We extend our gratitude to all participants who provide valuable lessons to make this work possible, and to Fumeng Yang for discussions and editing. This work is supported by the National Science Foundation under Grant No. IIS-1552663.
Publisher Copyright:
© 2022 ACM.
PY - 2022/4/29
Y1 - 2022/4/29
N2 - Sharing annotations encourages feedback, discussion, and knowledge passing among readers and can be beneficial for personal and public use. Prior augmented reality (AR) systems have expanded these benefits to both digital and printed documents. However, despite smartphone AR now being widely available, there is a lack of research about how to use AR effectively for interactive document annotation. We propose Dually Noted, a smartphone-based AR annotation system that recognizes the layout of structural elements in a printed document for real-time authoring and viewing of annotations. We conducted experience prototyping with eight users to elicit potential benefits and challenges within smartphone AR, and this informed the resulting Dually Noted system and annotation interactions with the document elements. AR annotation is often unwieldy, but during a 12-user empirical study our novel structural understanding component allows Dually Noted to improve precise highlighting and annotation interaction accuracy by 13%, increase interaction speed by 42%, and significantly lower cognitive load over a baseline method without document layout understanding. Qualitatively, participants commented that Dually Noted was a swift and portable annotation experience. Overall, our research provides new methods and insights for how to improve AR annotations for physical documents.
AB - Sharing annotations encourages feedback, discussion, and knowledge passing among readers and can be beneficial for personal and public use. Prior augmented reality (AR) systems have expanded these benefits to both digital and printed documents. However, despite smartphone AR now being widely available, there is a lack of research about how to use AR effectively for interactive document annotation. We propose Dually Noted, a smartphone-based AR annotation system that recognizes the layout of structural elements in a printed document for real-time authoring and viewing of annotations. We conducted experience prototyping with eight users to elicit potential benefits and challenges within smartphone AR, and this informed the resulting Dually Noted system and annotation interactions with the document elements. AR annotation is often unwieldy, but during a 12-user empirical study our novel structural understanding component allows Dually Noted to improve precise highlighting and annotation interaction accuracy by 13%, increase interaction speed by 42%, and significantly lower cognitive load over a baseline method without document layout understanding. Qualitatively, participants commented that Dually Noted was a swift and portable annotation experience. Overall, our research provides new methods and insights for how to improve AR annotations for physical documents.
KW - Annotation
KW - augmented reality
KW - document interaction
KW - layout structure
KW - paper
KW - smartphone
KW - text
UR - http://www.scopus.com/inward/record.url?scp=85130553759&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85130553759&partnerID=8YFLogxK
U2 - 10.1145/3491102.3502026
DO - 10.1145/3491102.3502026
M3 - Conference contribution
AN - SCOPUS:85130553759
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI 2022 - Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
Y2 - 30 April 2022 through 5 May 2022
ER -